Clean, copy-paste tutorials for building AI agents: first-class code blocks, real eval results, and no fluff. Follow a path or jump straight to the step you need.
$ npm i && copy-paste the next step
Each path is an ordered run of copy-paste tutorials. Start at step one or drop in wherever you are.
Build a working agent loop with no framework: tool calls, memory, and control flow you fully own.
Drop an agent into an app you already ship, without rewriting your codebase or your data model.
Coordinate specialist agents: routing, hand-offs, and shared state across a multi-agent system.
Measure agents like software: metrics, regression suites, and traces that catch silent failures.
Single, self-contained walkthroughs you can finish in one sitting.
A runnable Python guide to Claude structured output: the native output_config.format JSON path, Pydantic-driven schemas, strict tool use, a portable tool-use fallback, and the 400/truncation gotchas nobody covers.
A 429 is your rate limit; a 529 is Anthropic overloaded. Catch both, honor retry-after, back off with jitter, cap the retries, and never retry a 400. Full runnable Python wrapper for agent loops.
GraphRecursionError means you hit LangGraph's 25-superstep recursion limit. Raise it the right way, find the real infinite loop, and exit gracefully with RemainingSteps.
The evaluator-optimizer workflow puts a rubric-driven critic in the loop so a generator revises until it passes. A runnable Python build with real guardrails.
Run independent LLM calls at the same time in Python with asyncio.gather, cap them with a Semaphore, and survive 429 rate limits with backoff. Runnable code.
Build the orchestrator-workers agent pattern in Python with Claude: a planner that decides subtasks at runtime, parallel workers, and a synthesizer. Runnable code, July 2026.
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The latest tutorials, fresh off the press.
A runnable Python guide to Claude structured output: the native output_config.format JSON path, Pydantic-driven schemas, strict tool use, a portable tool-use fallback, and the 400/truncation gotchas nobody covers.
A 429 is your rate limit; a 529 is Anthropic overloaded. Catch both, honor retry-after, back off with jitter, cap the retries, and never retry a 400. Full runnable Python wrapper for agent loops.
GraphRecursionError means you hit LangGraph's 25-superstep recursion limit. Raise it the right way, find the real infinite loop, and exit gracefully with RemainingSteps.
Found a bug in a tutorial, want a topic covered, or shipping something with these patterns? Send the details. Code snippets and repro steps welcome.
